Start with context, not a blank prompt
New projects can include repositories, file attachments, working directories, and executive summaries from prior projects so planning starts grounded in the actual environment instead of a clean-room prompt.
J5 Agent Fleet turns a plain-English brief into structured execution across specialized agents, projects, and tasks — with approval gates, cost governance, agent runners, operational reports, and full traceability built in.

A complete tour of J5 Agent Fleet — from briefing a project and delegating to specialized agents, to tracking execution, managing costs, and generating reports.
J5 Agent Fleet gives teams a clearer path from plain-English goals to structured execution, with context-rich intake, consultation, reusable workflows, scheduling visibility, operational reporting, customizable rosters, and cost governance built in.
New projects can include repositories, file attachments, working directories, and executive summaries from prior projects so planning starts grounded in the actual environment instead of a clean-room prompt.
Project chat starts with the current brief, task descriptions, and task outputs already attached. Teams can ask about shipped work, queued work, risks, and next steps inside the project workspace instead of rebuilding context in a separate thread.
See what is in progress, what is blocked, what has shipped, and what needs review. Live boards, task detail views, consultation states, and activity trails make delegated work traceable instead of opaque.
Day, week, and month reports turn live platform activity into concise markdown narratives with cost, throughput, and PDF-ready output instead of forcing teams to assemble updates from raw task traces.
Bookmarked tasks and recurring work make repeatable execution easier to preserve. Teams can save useful task patterns, rerun proven work, and keep recurring operational jobs visible in the same workspace as one-off execution.
Visualize work on a project timeline grouped by feature or assigned agent. Schedule tasks to run immediately or later, see milestones and run windows, and keep queued work visible before it turns into surprise activity.
Add custom specialists with their own role, model, and operating instructions, while budget policies and cost attribution by agent, model, project, and task keep economics visible.
Define checkpoints that require sign-off before agents proceed on sensitive decisions, high-risk actions, or cross-functional handoffs. Gates can trigger automatically based on risk level, cost threshold, or task type, and block execution until a human approves.
Connect any Mac, Linux, or Windows machine as an agent runner with a single install command. The lightweight daemon polls for tasks, executes with full access to your local tools and repositories, and reports results back — no port-forwarding or VPN required.
The workflow is designed to feel operational from end to end: set the objective, let the fleet shape the work, consult the live plan, then track execution and share what moved forward without rebuilding the story by hand.
Create a project from a plain-English brief, then add the repositories, attachments, and prior-project context that give the fleet enough information to plan work like a capable operator, not a blank chatbot.
A project begins with the outcome, supporting repositories, uploaded files, and optional context from prior work so planning starts grounded in the real environment.
J5 Agent Fleet breaks the project into a usable execution model: features, stories, tasks, dependencies, and specialist assignments. Instead of manually orchestrating every step, you get a plan that is ready to run.
The platform decomposes the work into an execution tree that makes dependencies, planning state, and scope visible before agents begin.
Project consultation happens against the current brief, tasks, and outputs, so teams can ask questions without reconstructing context in a separate thread.
Launch work across agents, follow progress on the board or timeline, reuse bookmarked or recurring work where it fits, generate reports when you need a concise update, and drill into task detail when needed. You stay in control while the platform handles coordination at a scale that is hard to manage by hand.
Board-level visibility makes it clear what is running, what is blocked, and where the fleet needs a human decision.
The timeline shows scheduled starts, active run windows, and completed milestones grouped by feature or agent, so teams can plan work instead of reacting to it.
When you need detail, task-level history and execution context make every delegated step inspectable instead of opaque.
J5 Agent Fleet does not treat spend as a back-office afterthought. Teams can review budgets, attribute usage by agent/model/project, and keep AI economics visible in the same workspace where work is planned, delegated, and reviewed.

Create budget guardrails at the right scope, review current usage, and see remaining headroom in plain language instead of hunting through billing tools.
Switch between operational views to understand which specialists, models, and projects are driving cost so finance and engineering can act on the same data.
Daily spend trends, rolling windows, and active budget status keep economics visible while the fleet is running, not after the invoice lands.
Most teams evaluating J5 have tried other AI tools first. Here’s what sets it apart from the categories you already know.
J5 doesn't just answer questions. It structures work into projects, plans, tasks, and operating views teams can actually supervise.
One generalist can't cover engineering, design, QA, marketing, and operations simultaneously. J5 coordinates a fleet of specialists, each with a defined role and scope.
Project chat, boards, timelines, task traces, and activity history keep execution visible. Teams can inspect what happened, what is scheduled, and what still needs review.
J5 manages projects, tasks, reusable bookmarked work, recurring jobs, budgets, and execution context — not just a library of saved prompts.
J5 is built for supervised autonomy. Teams can review plans, intervene at checkpoints, expand the roster when needed, and optionally add local project knowledge without pretending everything should run unattended.
What it is
An operations workspace for coordinating a fleet of specialized AI agents across real projects — with structured plans, project consultation, reusable workflows, timelines, custom specialists, per-agent budget governance, and a complete audit trail. Built for teams that need AI to operate with accountability, not just answer questions.
Chat-based AI is powerful for quick answers. For structured, multi-agent execution at team scale, teams consistently hit the same walls.
You paste the same project brief into five different AI windows and still can't tell what's been done or what's next.
One persistent project workspace where every agent works from the same context, brief, history, and consultation thread.
AI produces output but you can't see what it did, why it made a decision, or whether the work is actually complete.
Live task boards, consultation states, step-level audit trails, and task detail views make every action traceable and reviewable.
Useful work disappears after one run, so teams keep recreating the same prompts, task setups, and recurring jobs.
Bookmarked tasks and recurring work preserve repeatable execution patterns so teams can rerun proven work without rebuilding it from scratch.
Even when AI work finishes, you still end up hand-writing status updates from scattered task traces, chat logs, and screenshots.
Day, week, and month reports turn real execution into concise markdown summaries with PDF-ready output, so stakeholders get the story without losing the evidence.
You write individual prompts to delegate every task, which defeats the point of having autonomous AI.
Describe the outcome once. J5 decomposes it into a structured plan and routes work to the right specialists with the project context attached.
A single generic assistant handles everything but excels at nothing — especially across engineering, design, QA, and operations.
A fleet of specialists across engineering, design, product, marketing, testing, and operations, plus the ability to add custom roles when the work changes.
Everything runs right now, so you can't stage work for later or see how a full initiative will unfold across the team.
Project timelines and task scheduling make queued, active, and completed work visible by feature or by agent, so teams can plan execution windows before work starts.
J5 Agent Fleet does not leave teams stitching together updates from task traces and chat logs. Reports summarize a day, week, or month of work into a concise narrative with throughput, cost, and leverage already framed.
Weekly report
What moved forward
Project chat and timeline updates shipped alongside reusable workflow clean-up and a refreshed marketing story.
Execution health
3 active initiatives, 11 completed tasks, 2 queued follow-ups, and no failed runs needing escalation.
Economics
$214 model spend this week with enough completed work to replace an estimated 31–40 hours of manual coordination.
Period summaries
Reports turn the current platform state into a concise narrative of what moved forward, what stayed blocked, and what is still in motion.
Shareable output
Teams can copy a report into slides, email, or docs immediately, then keep the polished export tied to the same execution record.
Operational context
A useful update needs more than raw logs. J5 brings together shipped work, execution pace, spend, and human-time comparison in one place.
J5 isn’t a thin wrapper around a model API. Every part of the system is designed for the operational realities of running AI at team scale — with the controls ambitious teams require.
Describe an outcome in plain English. J5 structures it into epics, features, user stories, and executable tasks so work starts immediately rather than accumulating in a planning backlog.
Tasks are matched to the right specialist — engineering work to engineers, design to designers, QA to testers, and so on — with the project context they need attached.
Project chat stays grounded in the brief, current plan, and task outputs. Teams can ask follow-up questions or review decisions without switching to a separate, context-poor thread.
Useful task patterns do not have to disappear after one run. Teams can preserve repeatable work as bookmarks or recurring jobs and keep that activity visible alongside live execution.
Project timelines show scheduled starts, active run windows, and completed milestones by feature or assigned agent, making future work as visible as live work.
When the work changes, teams can add new specialists with their own role, category, model, and operating instructions instead of forcing every task through a fixed roster.
Projects can start with repositories, attachments, working-directory context, GitHub access, and executive summaries from prior work so planning begins with the real environment attached.
Reports summarize a day, week, or month of execution in markdown with throughput, cost, and leverage context, then keep the PDF-ready handoff tied to the same underlying work.
Set spending limits at any scope — global, per project, or per agent. Hard limits halt execution before a threshold is exceeded so AI costs never outpace your approval.
Every dollar of AI spend is tracked and attributed by agent, project, model, and task. Monthly dashboards and rolling windows give complete financial visibility — no surprises.
Every action, decision, and output is logged and attributable. Nothing happens silently. Everything is reviewable after the fact so teams can demonstrate what was done and why.
FAQ
The questions below cover the core operating model: how J5 differs from generic assistants, how teams keep consultation, scheduling, reporting, reusable workflows, and cost visible, and what governance looks like as autonomous work scales.
J5 Agent Fleet is an operations workspace for coordinating specialized AI agents across real projects. It helps teams turn goals into structured execution with planning, delegation, live tracking, reusable workflows, and traceable outcomes.
A single assistant can help with one conversation at a time. J5 Agent Fleet is designed for coordinated execution across multiple agents, tasks, and workflows, with project structure, context management, reusable task patterns, and operational visibility built in.
Yes. J5 Agent Fleet is built for supervised autonomy. You can review plans, inspect task detail, monitor progress, pause or resume execution, and use consultation checkpoints where humans review work before it advances.
It is built for technical founders, engineering leaders, product teams, and AI-native operators who want to scale execution across complex work without losing visibility or control.
Yes. Project chat is seeded with the live brief, task descriptions, and task outputs from the current plan. That makes it easier to ask about risks, shipped work, or next steps inside the project instead of starting a fresh chat thread.
Yes. Teams can expand the fleet by creating their own specialists with a role, category, model, and operating instructions that fit the work they actually need to run.
Yes. J5 supports bookmarked tasks and recurring work so teams can preserve useful task patterns, rerun repeatable jobs, and keep that work visible in the same operating views as one-off execution.
Yes. Tasks can run immediately or at a scheduled date and time. Scheduled work stays visible in the same operating views as active work, which makes it easier to plan batch runs and keep humans aligned before execution starts.
Yes. J5 can generate day, week, and month reports from live platform activity, with concise markdown output for docs or slides and PDF-ready handoff when you need a polished recap.
The project timeline visualizes tasks on a Gantt-style view. Teams can group by feature to follow delivery milestones or by assigned agent to inspect workload, with scheduled starts, run windows, and completion points visible in one place.
Optionally, yes. For projects with a valid local workspace, J5 can maintain project-scoped QMD knowledge and show configuration status directly in the product. It is an operational aid for grounded project context, not a claim of universal memory.
The costs workspace gives teams rolling spend visibility, budget policies, and hard-stop guardrails for new work. You can see spend before it compounds and intervene with clear operational context instead of reacting after the billing cycle closes.
Yes. J5 surfaces spend and usage across multiple views so teams can inspect economics by task history, agent, model, and project. That makes it easier to spot where paid usage is concentrating and adjust operating choices before costs drift.
J5 keeps planning context, task history, outputs, and operational activity attached to the work. That gives teams a concrete trail for reviews, compliance conversations, and post-mortems instead of relying on scattered chat logs.
Teams typically start with one real project, connect the relevant repositories and context, and let J5 decompose the work into an operational plan. From there, they can expand the roster with specialized agents while keeping humans in the review loop.
Autonomous systems only perform well when they understand the work environment. J5 Agent Fleet lets teams reuse prior project context, connect repositories, preserve decisions, maintain project-scoped knowledge when needed, and chat against the live plan so agents can act with better judgment and less repetition.
Approval gates are human checkpoints that block agent execution until a team member explicitly signs off. They are useful before high-risk actions, external-facing changes, spend-heavy tasks, or any step where a human decision is genuinely required. Gates can be configured by checkpoint type, risk level, or task type, and the platform keeps a full audit trail of who approved what and when.
Yes. The agent runner daemon lets you connect any Mac, Linux, or Windows machine as a local execution node. Download the binary for your platform, generate a one-time install token in Settings → Runners, and run the one-line install command. The daemon registers itself as a background service and starts polling for assigned tasks. Agents then run with full access to your local repositories, CLI tools, and environment.
J5 Agent Fleet offers a free Trial to get started, a Free tier with a monthly task allowance, a Pro tier for individual power users, and a Team tier for collaborative workspaces. See the Pricing page for current limits. Paid plans are billed through Stripe and can be managed from Settings → Billing at any time.
Yes. The Free tier includes a monthly task allowance so you can run real work without a credit card. When you reach the limit you can upgrade to Pro or Team from Settings → Billing. Trial accounts also get an extended window to explore the full feature set before choosing a plan.
J5 Agent Fleet is in early access. Join the waitlist and we’ll reach out to discuss how it fits your team’s work.